Intelligent Vehicles (IVs) have become a priority for research because of their significant benefits in enhancing road safety and operational efficiency. Intelligent Vehicles have made enormous progress over the years, but they still face substantial obstacles in gaining widespread acceptance. The authors recommend, in this regard, that Intelligent Vehicles research be advanced anywhere, gradually addressing existing issues. To begin with, the most basic necessity of Intelligent Vehicles is security. The authors outline the essential technologies and problems of Intelligent Vehicles’. It includes fundamental architecture, existing attacks, and defense tactics for information security. Second, comfort is primarily concerned with people’s subjective sensations. Visual perception is the primary, which humans integrate data from the traffic environment. Visual sensors can gather the majority of the information needed to operate a vehicle. Necessitating advanced machine vision and picture interpretation approaches for visual sensing. The functional spectrum covered ranges from sophisticated automated driving to self-driving vehicles. This chapter follows the order of image processing pipelines, which consolidate the rich information and a large quantity of data in video sequences one by one. Specific items in a traffic scene are associated using recognition and classification systems. Although several Intelligent Vehicle prototypes have been constructed to demonstrate the notion of automated vehicles and the viability of enhancing traffic efficiency, there is still a considerable gap until high-level IVs can be mass-produced. The goal of this research is to provide an overview of present technologies. It will be practical in future Intelligent Vehicles, their current condition, and prospects. Reviewing all linked works and predicting their future perspectives is a strenuous endeavor, especially in such a vast and multi-disciplinary field of study.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Future Intelligent Vehicles: Open Issues, Critical Challenges, and Research Opportunities


    Additional title:

    Disruptive Technologies & Digital Transformations for soc.5.0


    Contributors:


    Publication date :

    2022-11-26


    Size :

    32 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Future Intelligent Vehicles: Research Roadmaps, Open Issues, and Key Challenges

    Sahana, D. S. / Sardar, Tanvir H. / Sureddy, Sneha | Springer Verlag | 2025


    Trends and Open Research Issues in Intelligent Internet of Vehicles

    Kamble Shridevi Jeevan / Kounte Manjunath R | DOAJ | 2023

    Free access

    Electric Vehicles Challenges, Opportunities, and Future Scope: The Recent Review

    Verma, Ranjan / Srivastava, S. K. / Narain, Aishvarya | Springer Verlag | 2022


    Challenges and Opportunities of Future Vehicle Diagnostics in Software-Defined Vehicles

    Bickelhaupt, Sandra / Hahn, Michael / Nuding, Nikolai et al. | British Library Conference Proceedings | 2023


    Challenges and Opportunities of Future Vehicle Diagnostics in Software-Defined Vehicles

    Morozov, Andrey / Hahn, Michael / Weyrich, Michael et al. | SAE Technical Papers | 2023